Megh Shukla

According to our database, Megh Shukla authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression.

Megh Shukla, Mathieu Salzmann, Alexandre Alahi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

TIC-TAC: A Framework To Learn And Evaluate Your Covariance.

Megh Shukla, Mathieu Salzmann, Alexandre Alahi

CoRR, 2023

2022

Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin?

Megh Shukla

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation.

Megh Shukla, Roshan Roy, Pankaj Singh, Shuaib Ahmed, Alexandre Alahi

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

EGL++: Extending Expected Gradient Length to Active Learning for Human Pose Estimation.

Megh Shukla

CoRR, 2021

A Mathematical Analysis of Learning Loss for Active Learning in Regression.

Megh Shukla, Shuaib Ahmed

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

LEt-SNE: A Hybrid Approach to Data Embedding and Visualization Of Hyperspectral Imagery.

Megh Shukla, Biplab Banerjee, Krishna Mohan Buddhiraju

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020